Human Support Robot

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Ritsumeikan Univ, Emergent Systems Lab.

Last updated: Nov. 21, 2022

Development of a knowledge transfer system among robots based on a multimodal concept acquisition model


  • Yoshinobu Hagiwara, Associate Professor, Ritsumeikan University
  • Tadahiro Taniguchi, Professor, Ritsumaikan University
  • Akira Taniguchi, Lecturer, Ritsumikan University
  • Takahiro Fukumori, Lecturer, Ritsumeikan University
  • Lotfi El Hafi, Assistant Professor, Ritsumeikan University
  • Tadashi Matsuo, Assistant Professor, Ritsumeikan University
  • Shoichi Hasegawa, Ph.D. Student, Ritsumeikan University
  • Masaki Ito, Student, Ritsumeikan University



To achieve object goal navigation and other tasks, it is desirable for the robot to efficiently acquire the knowledge of objects and places from a small amount of data in a novel home environment. We develop a system that transfers the knowledge of objects and places acquired in home environments between robots. The knowledge transfer system is developed by extending a probabilistic generative model that forms the concepts of objects and places based on multimodal information to multi-agent systems. The developed model will be implemented in a distributed manner on multiple networked robots (HSR) to form a knowledge transfer system.


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